Job Description

Key Responsibilities

• Design and implement AI-driven applications, copilots, and conversational agents using Large Language Models (LLMs).
• Build and maintain Retrieval-Augmented Generation (RAG) pipelines using text chunking, embeddings, and vector databases.
• Develop and optimize prompting strategies and agent reasoning logic.
• Engineer LLM-based middleware integrations using Python and Node.js.
• Contribute to full-stack application development using the MEAN stack.

Requirements

• 2+ years of experience in AI/ML or full-stack software engineering.
• Hands-on experience building LLM-based applications, RAG solutions, or AI agents.
• Proficient in Python and/or Node.js and familiar with modern backend/middleware patterns.
• Solid experience in MongoDB, including vector search capabilities (Atlas Vector Search preferred).
• Experience with the MEAN stack (MongoDB, Express, Angular, Node.js).
• Familiarity with prompt engineering, embeddings, and retrieval pipelines.

Job Highlights

• Focus on AI-driven application development using LLMs.
• Involvement in building and maintaining RAG pipelines.
• Full-stack development with a focus on the MEAN stack.
• Hands-on experience with modern AI and database tools.